{"id":"W4406560179","doi":"10.1016/s2211-0380(18)82462-0","title":"10.1016/s2211-0380(18)82462-0","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Skin Protection and Aging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001010152,0.002324875,0.001526482,0.002708026,0.002210183,0.003714602,0.002892249,0.004668501,0.9903321],"category_scores_gemma":[0.001597839,0.0008339337,0.001506197,0.002117701,0.001493713,0.004204114,0.003065178,0.002354993,0.9915741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009953191,"about_ca_system_score_gemma":0.001140914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003580355,"about_ca_topic_score_gemma":0.003450146,"domain_scores_codex":[0.9994431,0.0000381148,0.00004455672,0.0001871073,0.0001717737,0.0001153414],"domain_scores_gemma":[0.9980262,0.0004752945,0.000110448,0.0002200528,0.0004084226,0.0007595787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002943653,0.000220539,0.0007121279,0.0005139548,0.00003031999,0.0002104663,0.00009069264,0.0003099589,0.001759609,0.005283747,0.3791614,0.6114128],"study_design_scores_gemma":[0.00004287144,0.00008427269,0.0005862963,0.0002202545,0.000009263098,0.0002690676,0.00007363129,0.0001178707,0.0002520755,0.0004458446,0.9978831,0.00001537788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002851523,0.0003292039,0.0004699308,0.0002738168,0.0002779121,0.0000776958,0.0004475607,0.0005918239,0.9972469],"genre_scores_gemma":[0.0003882874,0.0001764065,0.0002679189,0.0001511571,0.00007499214,0.00004159517,0.0002518232,0.0001135889,0.9985342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009667933,"threshold_uncertainty_score":0.01379013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009824087159890455,"score_gpt":0.2062586361986127,"score_spread":0.1964345490387222,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}